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OpenAI Agents SDK

Free#17 of 49 in LLM Application Development Frameworks

OpenAI Agents SDK: A self-hosted Python framework for OpenAI-centered agents, handoffs, and tracing. Ranked #17 of 49 in LLM Application Development Frameworks by our editors (7.7/10); pricing: Open source; best for openAI-centered agents with handoffs and tracing.

7.7/10Editor score

Visit OpenAI

OpenAI Agents SDK7.7 Visit OpenAI

At a glance

Editor score
7.7 / 10
Pricing
Open source
Best for
OpenAI-centered agents with handoffs and tracing
Paid from
None
Facts checked
25 Sep 2026

Where it wins
- Combines tools, guardrails, handoffs, and agent delegation.
- Supports persistent sessions, voice pipelines, and sandbox agents.
- Built-in tracing helps visualize and debug agent runs.
Where it doesn't
- Self-hosted deployment leaves runtime and storage management to developers.
- Integrations focus on OpenAI APIs, MCP, Any-LLM, and LiteLLM.
- Model and hosted-tool usage may incur separate provider or API charges.

Our verdict on OpenAI Agents SDK

OpenAI Agents SDK is an open-source Python framework for building agentic applications. It suits developers who want to define agents with instructions and tools, coordinate handoffs, and add guardrails or human review in their own application. It runs in the application’s runtime and supports Windows, macOS, and Linux. Its scope extends to agents-as-tools, multi-agent delegation, isolated sandbox workspaces, realtime and voice pipelines, persistent sessions, and conversation memory.

The orchestration toolkit is the main draw: function tools can generate and validate schemas automatically, and agents can call MCP server tools. Built-in tracing visualizes runs for debugging. Integrations include the OpenAI Responses API and Chat Completions API, MCP, Any-LLM, and LiteLLM; provider integrations and adapters also allow non-OpenAI models. That gives teams a path beyond OpenAI models, though the listed ecosystem is focused rather than a broad catalog of integrations. There is no workflow visual builder, so this is a code-oriented framework rather than a visual workflow product.

Deployment is self-hosted: developers install the SDK with pip and manage deployment, tools, storage, and runtime behavior in their applications. The SDK package is open source, but model and hosted-tool usage may involve separate provider or API charges. Documentation is the listed support channel. Choose it if you want Python-based agent orchestration, handoffs, sessions, and tracing under your own runtime; look elsewhere if you need a managed deployment, a visual workflow builder, or a wider integration ecosystem.

OpenAI Agents SDK pricing

Plans Open sourceFree Free to use — no paid tier required for the core job.

See plans on openai.github.io

OpenAI Agents SDK fact sheet

Free plan	Not verified
Paid from	None
Primary language	Not verified
RAG support	Not verified
Agent and tool use	Not verified
Workflow graphs	Not verified
Prompt optimization	Not verified
Open-source license	Not verified
JavaScript/TypeScript SDK	Not verified
Deployment	Self-hosted
Platforms	Windows, macOS, Linux
Support	Docs
Built for	Solo, Small business, Mid-market, Enterprise (editorial estimate)
Integrations	5 integrations: OpenAI Responses API, OpenAI Chat Completions API, MCP, Any-LLM, LiteLLM
Pricing	Open source
Website	openai.github.io
Facts checked	25 Sep 2026

OpenAI Agents SDK integrations

OpenAI Agents SDK lists 5 integrations on its own site.

OpenAI Responses API
OpenAI Chat Completions API
MCP
Any-LLM
LiteLLM

Alternatives to OpenAI Agents SDK

See all OpenAI Agents SDK alternatives →

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Featured on iTechGuides

OpenAI Agents SDK is listed in our LLM Application Development Frameworks directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 9 Oct 2026 · How we research and update